Python Programming Fundamentals (2025)

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[b]Python Programming Fundamentals (2025)[/b]
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.51 GB | Duration: 11h 39m
Python Programming ,Data Structures ,Data Visualization, Images and Videos Processing
[b]What you'll learn[/b]



Python Fundamentals: Understand Python syntax, variables, data types, data structures and control.
Core Concepts: Dive into functions, modules, classes, objects, files handling, and files manipulation including text, images and videos.
Work with Python Libraries: Get hands-on important Python libraries like NumPy, Pandas, Matplotlib, Plotly Express, and OpenCV.
Build Projects: Apply your knowledge to create real-world projects, enhancing your coding skills and problem-solving abilities.
[b]Requirements[/b]
English Language
[b]Description[/b]
Python ProgrammingWelcome to this course of Python Programming Fundamentals!Actually Python is one of the most important programming languages that are contributing to the world technology development.Python is widely used in various domains such as, data analysis, artificial intelligence, machine learning, scientific computing, game development, web development and more.Python is and perfect choice for both beginners, experienced and expert developers and professionals.The students will learn in this course:Python Fundamentals: Understand Python syntax, variables, data types, data structures and control.Core Concepts: Dive into functions, modules, classes, objects, files handling, and files manipulation including text, images and videos.Work with Python Libraries: Get hands-on important Python libraries like NumPy, Pandas, Matplotlib, Plotly Express, and OpenCV.Build Projects: Apply your knowledge to create real-world projects, enhancing your coding skills and problem-solving abilities.This course is structured to provide you with step-by-step guidance, real coding examples, to reinforce your skills, and make python programming easy and expand your imagination to create real models. Whether you're new to programming or looking to expand your skills, Python is a powerful tool that will open doors to endless possibilities for you.Let's embark together in this exciting journey and unlock the potential of Python programming.
[b]Overview[/b]
Section 1: Introduction
Lecture 1 Introduction
Section 2: Python IDE Installation And Verification
Lecture 2 Python IDE
Lecture 3 Pycharm
Lecture 4 Anaconda
Lecture 5 Verification
Section 3: Python Variables
Lecture 6 Python Programming Comments
Lecture 7 Strings
Lecture 8 Integers
Lecture 9 Floats
Lecture 10 Booleans
Lecture 11 Python Variables Casting
Section 4: Python Buil-In Data Structures
Lecture 12 Python Lists
Lecture 13 Python Tuples
Lecture 14 Python Sets
Lecture 15 Python Dictionaries
Section 5: Python Aritmetic Operations
Lecture 16 Addition
Lecture 17 Subtraction
Lecture 18 Multiplication
Lecture 19 Division
Lecture 20 Modulus
Lecture 21 Floor Division
Lecture 22 Exponentiation
Section 6: Python Conditional Statements
Lecture 23 If-Statment
Lecture 24 If-Else Statement
Lecture 25 if-elif
Section 7: Python Loops
Lecture 26 For Loop
Lecture 27 For In Range Loop
Lecture 28 Nested Loops
Lecture 29 For-Else Loop
Lecture 30 While Loop
Section 8: Python Functions
Lecture 31 Lambda Function
Lecture 32 Function-1
Lecture 33 Function-2
Section 9: Python Built-In Math Functions
Lecture 34 Maximum and Minimum
Lecture 35 Absolute
Lecture 36 Power
Section 10: Python User Input
Lecture 37 User Input-1
Lecture 38 User Input-2
Section 11: Python Modules
Lecture 39 Modules
Section 12: Python Datetime
Lecture 40 Datetime
Section 13: Python Formatting Strings
Lecture 41 Formatting Strings
Section 14: Python Classes & Objects
Lecture 42 Classes and Objects-1
Lecture 43 Classes and Objects-2
Section 15: Python Arrays
Lecture 44 Arrays-1
Lecture 45 Arrays-2
Lecture 46 Arrays-3
Lecture 47 Arrays-4
Section 16: Python DataFrames
Lecture 48 DataFrames Creation
Lecture 49 DataFrames-Common Operations-1
Lecture 50 DataFrames-Common Operations-2
Lecture 51 DataFrames-Common Operations-3
Section 17: Python Data Visualization
Lecture 52 Mathmetical Plots
Lecture 53 Catagorical Plots
Lecture 54 Scatter Plots
Lecture 55 Geographical Plots
Section 18: Python Docstrings
Lecture 56 Docstrings
Section 19: Python Random
Lecture 57 Random
Section 20: Python Text Files Handling
Lecture 58 Text Files Creating
Lecture 59 Text Files Reading
Lecture 60 Text Files Writting
Lecture 61 Text Files Appending
Lecture 62 Text Files Deleting
Section 21: Python Images Processing
Lecture 63 Images Processing
Lecture 64 Images Resizing
Lecture 65 Color to Gray Conversion
Lecture 66 Images Blurring
Lecture 67 Images Denoising
Section 22: Python Video Proceesing
Lecture 68 Video to Images Conversion
Lecture 69 Search An Image Inside A Video
Section 23: Final Exam
Beginners, Programmers Looking To Expand Theirs Skills, Students, Scientists , Engineers, Professionals
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